Arthi Reddy
Data & BI Analyst | 5+ Years Driving $3M+ ROIExpert in Insurance Analytics, Marketing ROI & Supply Chain OptimizationSkilled in Power BI, Azure/AWS, ETL Automation & Governed Data Pipelines
- Role
- Data Analyst at Allstate
- Location
- Montgomery, AL, US
- LinkedIn followers
- 500 followers
About Arthi Reddy
I innovate at the intersection of data engineering, business intelligence, and governance. This means architecting solutions that are not only insightful but also inherently secure, scalable, and compliant from the ground up.For Insurance Risk & Fraud: At Allstate, the problem was slow, manual data reconciliation delaying fraud detection and SOX reporting. My innovation was an Azure-native analytics architecture. I automated 12 data pipelines in Azure Data Factory, designed star-schema models in Synapse Analytics, and deployed real-time Power BI dashboards. This turned weeks of manual work into minutes of automated insight.For Global Marketing ROI: At Hexaware, marketing leadership couldn\'t track the real-time ROI of a $50M+ annual spend across 8 product lines. My innovation was a unified performance intelligence layer. I built a scalable data foundation in AWS Redshift, created automated A/B testing frameworks in R/Python, and delivered segmented executive dashboards in Tableau & QuickSight, providing a single source of truth.For Supply Chain Visibility: At Intex, procurement and warehouse teams operated in silos, causing stock inaccuracies and compliance risks. My innovation was an integrated operational data hub. I connected ERP and warehouse systems via SQL pipelines, automated inventory reconciliation with Power Query, and built Tableau dashboards that mapped the entire order-to-fulfillment journey for FDA/EU MDR readiness.Success Pattern: My approach consistently generates a clear pattern of results: accelerated decisions, substantial cost savings, and ironclad compliance.Allstate: Decision latency reduced by 60%, enabling $2.3M in cost reduction. Achieved 99.7% data accuracy for SOX reporting.Hexaware: Improved campaign ROI by 22% through data-driven experimentation. Increased team efficiency by 35% by reducing reporting cycles from 5 days to same-day.Intex: Improved order fulfillment visibility by 40% and increased inventory accuracy from 82% to 96%, while ensuring audit-ready data for regulated markets.I specialize in the full analytics stack—from cloud data platforms (Azure, AWS, Snowflake) and pipeline orchestration (dbt, Airflow) to visualization (Power BI, Tableau) and governance frameworks (SOX, GDPR). My goal is to build data products that don\'t just inform, but actively drive strategic growth and operational excellence.
Experience
Data Analyst
Jan 2025 — Present · US
Analytics Leadership & Stakeholder Management• $2.3M Cost Savings: Delivered 8 Power BI executive dashboards analyzing 1.2M+ claims records across underwriting, fraud, and finance—reducing decision latency 60%| Azure Synapse, DAX, Power BI• Enterprise Data Architecture: Engineered 12 Azure Data Factory ETL pipelines achieving 99.7% data accuracy for SOX compliance—eliminated 47% manual processing | Azure Data Factory, Python, SQL Server• Predictive Analytics: Built Python forecasting models (3-year historical analysis) improving staffing accuracy 28% and reducing customer wait times 15 minutes | Prophet, ARIMA, Pandas• Performance Engineering: Redesigned star schema data models optimizing query speed 65% for 50+ users across 4 departments | Azure Synapse, T-SQL, Dimensional Modeling• Stakeholder Excellence: Partnered with 15+ cross-functional leaders reducing requirements revision cycles 21% through structured workshops | Agile, BRD/FRD DocumentationData Quality & Compliance• Anomaly Detection Framework: Developed SQL rules identifying 1,200+ monthly data integrity issues—improving reporting reliability 34%| SQL, Python, Statistical Analysis• Process Optimization: Conducted root cause analysis on claims delays, reducing processing time 18% through actionable recommendations | Process Mining, Transactional Analysis• Automated Validation: Implemented Python scripts eliminating 95% recurring data quality errors in compliance pipelines | Python, Pandas, Data Validation
Education
Eminent high school
ssc, SSC
Anniebesant College of Education
Intermediate
Auburn University at Montgomery
Master of Science - MS, Management Information Systems, General
Osmania University
Bachelor of Business Administration - BBA, Business Administration and Management, General
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